Abstract #1002

Evaluating the Accuracy of Multi-component T2 and Fractions for Luminal Water Imaging of the Prostate using 3D GRASE with Inner Volume Selection

Rachel W. Chan¹, Angus Z. Lau^1,2, Garry Detzler¹, Vivekanandan Thayalasuthan¹, Robert K. Nam³, and Masoom A. Haider¹

¹Sunnybrook Research Institute, Toronto, ON, Canada, ²Medical Biophysics, University of Toronto, Toronto, ON, Canada, ³Division of Urology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada

Prostate cancer can be detected using a multi-component T2 mapping technique termed luminal water imaging (LWI). The purpose of our study is: i) to accelerate the LWI acquisition by using inner volume selection (IVS) in GRASE and ii) to assess the accuracy of estimated T2 values and fractions. Simulations, phantom and in-vivo prostate experiments were performed. Results show that the estimated parameters should be interpreted with caution in noisy scenarios and at low fractions of the long T2 component. Results demonstrate that GRASE with IVS is effective for accelerating prostate LWI by at least a factor of three.

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